Interested in joining us to deliver the world's most advanced silicon? At Apple, new ideas have a way of becoming phenomenal products very quickly. There's no telling what you could accomplish at Apple. The people who work here have reinvented entire industries with Apple silicon power all our products. The same real passion for innovation that goes into our products also applies to our practices - we continue to strengthen our commitment to leave the world better than we found it! \\n\\nAs a key member of our best-in-class CAD Group, you will be part of developing an analytic platform to identify and recommend solutions to signoff IR/EM analysis. You will have the opportunity to acquire a broad spectrum of knowledge spanning various disciplines and stages of silicon design, also applying machine learning (ML) and large language modeling (LLM) technologies to provide more accurate and efficient design feedback. These LLM applications encompass tasks such as large data summarization, information retrieval, triage, and chatbot development, alongside traditional silicon design areas such as static/dynamic IR analysis, signal/power grid extraction, STA timing, signal/power EM analysis, and signoff. \\n\\nThe successful candidate will excel in dynamic, collaborative working environments and exhibit a hands-on, enthusiastic, self-motivated approach, with a strong drive to succeed in challenging settings. If you are eager to tackle challenges with innovative solutions, deliver exceptional user experiences, and pay meticulous attention to detail, this role may be the perfect fit for you. As a member of our team, your contributions will directly impact the experiences of millions of Apple customers in delivering state of the art processors to the wide range of Apple products.
In this highly visible role, your primary responsibilities will include: \n\nDeveloping innovative ML and large language model applications to understand, explain, and interact with EDA (electronic design automation) software. Designing and implementing their interaction with our extensive compute infrastructure.\n\nGenerating customized reports and dashboards to identify IR/EM issues and recommended solutions to improve power grid integrity.\n\nIdentifying opportunities to automate and streamline various IR/EM analysis and signoff flows.\n\nSupport and collaborate with design groups (Physical-design and integration, Circuit-design / Power / Package & System / Technology) on their IR/EM requirements for various analysis flows.\n\nWork side by side with EDA vendors to enhance and develop solution to improve efficiency and capacity.
Experience in developing object-oriented programs, utilizing data structures, and writing algorithms\n\nExperience in writing machine learning algorithms, implementing natural language processing (NLP), or using large language models in industry applications\n\nExperience in EDA Tool, CAD flow or TFM (Tool Flow Methodology)\n\nProficiency with UNIX shell environment, Python, and code revision control\n\nMinimum requirement of BS + 3 years of relevant industry experience
Knowledge in some of the PNR implementation and/or EMIR analysis flow\n\nExperience in electrical engineering machine learning applications\n\nExperience with large language models, including fine-tuning, retrieval augmented generation, and prompt engineering\n\nAbility to coordinate and drive initiatives with little to no oversight\n\nExcellent communication and presentation skills
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 4d2481a7684ae47d310b1274a62394a8
- Posted 13 hours ago
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